Opencv jobs

I have a working video-streaming script running on a Jetson Nano, but I need one small upgrade: the image must be rotated to the correct orientation before it ever leaves the board. If you already have a Jetson Nano on your bench and know your way around GStreamer / OpenCV (the code is in Python), this should be a straightforward tweak. Scope is intentionally lean: • Inject a 90° rotation (parameterised if possible) into the existing pipeline before the stream is pushed out. • Keep the rest of the pipeline untouched—latency, resolution and bitrate must stay as they are. • Return the updated source file(s) plus a short README so I can reproduce the build and run commands. Test by streaming from your Nano to VLC; the output should appear upright with no addi...

I am looking for a Opencv & C# winform developer

We need a super low cost airframe, flight controller, portable carry case that can be sent by courier from home to home; what I need now is the glue that lets...software • Flight-tested parameter set for fully autonomous take-off, mission execution, and landing on a typical suburban home • Export scripts that bundle photos, LiDAR LAS/LAZ, into a single, aligned dataset with basic metadata. • A short video (screen + field footage) demonstrating an end-to-end mission and the resulting deliverables. I’m flexible on the specific libraries you lean on—OpenCV, PCL, RTK-capable GNSS stacks, etc.—as long as the final workflow is stable and repeatable. If this sounds like your domain, let’s talk timelines and milestones so the drone can start ea...

...image segmentation—whichever best fits the problem we identify together once you review my data and target use case. Here’s what I expect: • A working prototype that runs locally or in the cloud, complete with model training scripts, inference pipeline, and clear instructions (README). • Well-structured, commented code in Python, leveraging common libraries such as PyTorch or TensorFlow, plus OpenCV for preprocessing. • A concise report outlining data preparation steps, model architecture, training metrics, and next-step recommendations. Accuracy, reproducibility, and clean code matter more to me than a glossy UI at this stage. If you have prior experience tailoring computer vision models to domains like medical imaging, surveillance, or retail a...

I need accurate, up-to-date digital floor maps that customers can rely on for in-store navigation. The immediate focus is the product aisles, but the mapping must align to the entire Walmart layout so it scales later to entrances, exits, and che...Short report on accuracy metrics, drift analysis, and recommended maintenance workflow. Acceptance criteria • Sub-metre positional error sustained for at least 50 m of continuous aisle walking. • Successful blue-dot display within a Walmart app mock-up without visible drift after re-calibration. • All source code, scripts, and configuration files included. You are free to leverage ROS, OpenCV, ARCore/ARKit, or other toolchains as long as the final prototype meets the above benchmarks and can be handed off cleanly for...

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...metrics, broken down by period or innings. • Environment: the system will be mounted at community turfs and school grounds where bandwidth can be limited, so on-device or edge processing is preferred, with cloud sync once a stable connection is available. • Outputs: MP4 match video, JSON/CSV analytics, and a simple web dashboard. I am open to your preferred stack—YOLO/DeepSORT, TensorFlow, OpenCV, Jetson, or similar—but accuracy and smooth, latency-free tracking come first. Please outline: 1. Your proposed hardware set-up (camera type, compute unit, storage). 2. The computer-vision and analytics pipeline you will build. 3. A rough delivery timeline broken into testable milestones. Successful delivery means I can bolt the unit above a pitch, power ...

...quantity takeoff and a matching line-item estimate. • Focus on a BASIC SUMMARY level for the takeoff in this phase. Dashboard requirements • Web dashboard built with React. • Role-based user management (signup, login, password reset, simple admin roles). • Ability to upload new blueprints, view processed results, and export reports (CSV or PDF). Tech expectations • Python backend (OpenCV or similar CV toolkit, plus any ML libraries you prefer). • RESTful API returning clean JSON. • React front-end (hooks or fine). • Containerised build (Docker), with a concise README and one-command spin-up. • Clear, modular code with docstrings, inline comments, and basic unit tests. Deliverables 1. Dockerised backend servi...

...Ring doorbell clip shot from roughly 5–10 m away that’s currently very blurry. A van smashed my parked car and kept going, and the numberplate is unreadable in the raw file. I need that plate brought into focus. You’ll receive the original .mp4 as soon as we start. Feel free to apply AI deblurring, frame interpolation, motion-compensated stacking, Topaz Video AI, After Effects, DaVinci Resolve, OpenCV—whatever combination gives the cleanest, most defensible result. Deliverables • Full-length enhanced video in a common format (H.264 or ProRes). • At least 1 photo of the plate thats readable. Acceptance criteria • Numberplate readable without zooming. • No aggressive artifacts or hallucinated details; output must stand up to p...

I’m building an AI-powered Hiwonder bionic dog on a Raspberry Pi 5 running both ROS 1 and ROS 2 in Python. I now need a focused add-on that lets the robot recognise faces, decide whether the person is an authorised student or an intruder, and act immediately. Core goals • Face recognition module – choose the most suitable library (OpenCV, Dlib, TensorFlow or another you prefer) and train it with my student dataset. • Decision logic – label each detection as “authorised” or “intruder”. • Alert workflow – when an intruder is detected the robot must send an SMS text message to the proctor with the person’s status and the robot’s live location. GPS, Wi-Fi positioning, or other lightweight techniques are al...

...events must be searchable by name, camera or date and viewable through a lightweight, browser-based dashboard that also lets me enrol new faces on the fly and pull daily or weekly reports. The environment you’ll step into includes about twenty HD IP cameras streaming over our internal network and a spare on-prem server (Windows or Linux) that can be equipped with a dedicated GPU if your stack—OpenCV, FaceNet, DeepFace, TensorFlow, YOLO, AWS Rekognition or another engine—needs it. Privacy is critical, so everything should run locally; cloud components are acceptable only when they can be self-hosted. Deliverables • A service that consumes our camera streams, detects and recognises faces, and logs entry/exit events to a database. • A clean web dashbo...

...proof-of-concept, so you won’t be starting from scratch—I simply need it matured into a reliable, user-friendly executable that can churn through whole folders of images in one go. Key requirements • Source images are coloured PNG/JPEG files. Even better if whole CBR files • Text must be detected automatically and erased by an inpainting method rather than clone-stamping or manual masking, so OpenCV, PyTorch or similar libraries are welcome. • After processing, the script should run an automated check to confirm no visible text remains; an OCR pass is fine for this. • Final deliverable is a one-click desktop executable (Windows) plus the updated, well-commented Python code. Nice to have – Simple GUI or command-line flags for input/outpu...

...the avatar never gets stuck against walls or terrain. • No additional tasks—just continuous movement with smooth obstacle avoidance. If the solution can later be expanded to collect items or interact with NPCs, great, but the current milestone is simple, hands-free roaming. Tech preferences I’m open to your preferred language or framework; past success with image-recognition libraries such as OpenCV or input-automation tools like ADB, AutoHotkey, or Python-based wrappers is a plus. The code has to be easy for me to configure (screen-coordinates, delays, etc.) and accompanied by a brief read-me so I can reproduce the setup. Deliverable • Source code with clear comments • A short guide showing how to install, launch, and tweak movement parameters •...

I need to place deskewed circle correctly and detect 2 circles from image using OpenCV & C# Winfom.

...Per-segment locking; smooth transitions 8 B-Roll Detection Detects segments without visible faces 9 Caption Generation 41+ caption styles, ASS format 10 Rendering Parallel FFmpeg processing, H.264 encoding Processing Speed: 15 minutes per hour of content Performance Gain: 3x faster and 40% lower memory footprint after optimization. Part 4: Key Technologies Domain Technology Stack Computer Vision OpenCV, DBSCAN clustering, quality assessment Audio Processing Pyannote diarization, speech-to-text, acoustic analysis NLP GPT-based LLMs for transcript and title generation Video Rendering FFmpeg (sendcmd, ASS, H.264 encoding) Performance Thread/process pools, async I/O, caching Architecture Modular pipeline, centralized configuration, extensible components...

...a seamless panorama. The script should read a folder of JPEGs, align and blend the frames, then export a high-resolution panorama that looks clean and professional. Because the source shots come straight from the camera, I also want a built-in post-processing pass that applies: • Color correction • Noise reduction • Image sharpening You are free to choose the most suitable libraries—OpenCV, scikit-image, PIL, or any other Python tools—as long as the final script runs from the command line and works on both Windows and macOS. Please structure it so I can point to an input folder and an output path, adjust key parameters from the top of the file, and get a finished panorama in one step. Deliverables: the fully documented .py file and a brief r...

...images. CURRENT ISSUE: The existing Python code fails to properly fuse the different bands captured by the laser profilometer. We need either: Option 1: Identify and fix bugs in existing codebase Option 2: Complete system rewrite with more robust architecture TECHNOLOGIES USED: Hardware: KEYENCE LJ-X8080 (laser profilometer), LJ-X8000A controller, CNC system Language: Python 3.x Libraries: NumPy, OpenCV, Open3D, socket (TCP/IP), serial, scipy Protocols: Ethernet communication with KEYENCE (TCP ports 24691/24692) Data Format: 3D point clouds, laser profiles (3200 points/line) Typical Dimensions: Surfaces up to 2m × 2m, micrometric resolution REQUIRED SKILLS: - Advanced Python expertise (5+ years professional experience) - 3D point cloud processing (Open3D, PCL, or equiv...

...objects in real-time video or still images. The goal is broad coverage: I need the system to recognise kitchen appliances, furniture and electronics no matter where they appear—kitchen, living room or bedroom, plus spaces that rarely get attention such as the balcony, study, drawing room and dining room. You are free to work in the framework you know best (YOLOv8, Detectron2, TensorFlow, PyTorch, OpenCV, etc.) as long as the final solution runs on a consumer-grade GPU and can be called from Python. Pre-trained weights are fine if they shorten development time, but the finished model must be fine-tuned so that it reliably detects each category I listed above. Deliverables • A trained model able to detect kitchen appliances, furniture and electronics across all liste...

...Vision Data Scientist to design and train visual AI systems. Job Summary: The role involves developing, training, and deploying deep learning models for image and video processing. You will collaborate with ML engineers to deliver production-ready vision systems. Responsibilities: Develop models for object detection, classification, and image segmentation. Work with TensorFlow, PyTorch, and OpenCV. Process and augment image datasets. Deploy models using ONNX, TensorRT, or Docker. Collaborate with product and AI engineering teams. Requirements: 3+ years of experience in computer vision or deep learning. Proficient in Python and frameworks such as PyTorch or Keras. Experience with CNN architectures (ResNet, YOLO, EfficientNet). Familiar with GPU training and optimizatio...

I am looking for a OpenCV expert to detect 2 circles from image. Skills : C# winform & OpenCV

I am looking for a OpenCV expert to detect 2 circles from image.

...Node.js (Go or PHP/Laravel is also fine). - Proven experience building or consuming REST APIs at scale. - Familiarity with cloud AI tools like AWS Rekognition, Azure Face API, or Google Vision AI. - Understanding of Face Recognition fundamentals (Detection, Verification, Identification). - Comfortable working with Git and standard DevOps practices. Bonus Skills (Nice-to-Haves) - Experience with OpenCV or dlib for custom image processing. - Knowledge of MLOps or monitoring deployed AI systems. - Background in high-security or privacy-sensitive projects. - Understanding of Redis, Memcached, or similar caching systems. Why Work With Us You’ll be joining a tech-driven team working on a next-gen image tagging system powered by AI. We value clean architecture, speed, and priv...

...typical design elements such as doors, windows, openings, and any structural annotations that influence concrete work. • Allow me to ask follow-up questions focused on concrete (for example, “How much concrete volume is required for Grid B-C?” or “Show rebar schedule for Footing F4”) and answer them based on the extracted data. You are free to lean on computer-vision and machine-learning tools—OpenCV, PyTorch, TensorFlow, Tesseract OCR, or whatever combination you think is most efficient—as long as the final solution runs in standard Python, preferably 3.9+. Deliverables I expect: • A fully working Python program or package with clear, step-by-step setup instructions • Any trained models or weights used, plus a short ...

...with explanations, runnable code, and practice exercises. Real-world projects per module to ensure strong practical understanding. Weekly assignments, quizzes, and final job-readiness assessment. Post-class chat support for troubleshooting code-related issues. Training Focus Areas Deep Learning (TensorFlow, PyTorch) Natural Language Processing (spaCy, NLTK, transformers) Computer Vision (OpenCV, CNNs, image classification, object detection) Model deployment and performance tuning Why Learn With Me Proven experience mentoring IT professionals and corporate learners. Engaging teaching style that balances theory with extensive live coding. Flexible schedule and personalized pacing based on learner needs. If you’re looking to upskill your team or batch in advance...

I’m building a low-cost handheld intraoral 3D scanner and I’m now focused on a single milestone: extracting key measurements from the captured images. Using OpenCV on the Raspberry Pi image set, I need a lightweight script or module that automatically calculates the distance between adjacent teeth (inter-tooth spacing). Scope of this milestone • Take multi angle images from a dataset available online freely and share that dataset with me. • Detect dental contours reliably in varying lighting • Compute accurate inter-tooth distances and output the values in millimetres • Return well-commented Python code and a brief usage note so I can integrate it into the larger pipeline later Keep the solution lean—no extra UI, just a clear, repr...

...read alphanumeric characters embossed on flat metal parts so they can be catalogued automatically in our inventory management system. The parts move under a fixed industrial camera, and the lighting is controlled but reflections are still a challenge, so the network must cope with glare, minor scratches, and variable contrast. Here is what I am looking for: • A Python-based pipeline that uses OpenCV for preprocessing (glare reduction, ROI extraction, perspective correction) and a deep-learning backbone—PyTorch or TensorFlow are both fine—trained specifically on metal-embossed text. • Model must detect and recognise single-line or multi-line embossing in real time (≥10 FPS on an NVIDIA T4, batch 1). • Accuracy target: ≥98 % character-level ac...

...alphanumeric characters embossed on flat metal parts so they can be catalogued automatically in our inventory management system. The parts move under a fixed industrial camera, and the lighting is controlled but reflections are still a challenge, so the network must cope with glare, minor scratches, and variable contrast. Here is what I am looking for: • A Python-based pipeline that uses OpenCV for preprocessing (glare reduction, ROI extraction, perspective correction) and a deep-learning backbone—PyTorch or TensorFlow are both fine—trained specifically on metal-embossed text. • Model must detect and recognise single-line or multi-line embossing in real time (≥10 FPS on an NVIDIA T4, batch 1). • Accuracy target: ≥98 % character-level a...

...surface key behavioral signals and patterns in virtual meetings. Scope Includes: - Real-time video/audio capture via Zoom/Teams SDK - Facial and voice analysis (engagement, emotion, tone, interruptions, other bias) - Basic NLP on meeting transcripts (sentiment, keywords) - Live dashboard + smart alerts - Post-session reports and insights Preferred Stack: - Python, Node.js, or similar backend - OpenCV, DeepFace, or relevant AI/ML libraries - React/ frontend - Zoom/Teams integration - Cloud deployment (AWS/GCP) Ideal Candidate: - Startup mindset: fast, lean, self-directed - Strong experience with AI/ML + real-time data processing - Familiar with video/audio SDKs and NLP libraries - Can build full-stack MVP with clean UX To apply, please send a short introduction, relevant proje...

I am looking for a OpenCV expert to detect 2 circles from image using C# winform.

I am looking for a OpenCV expert to detect 2 circles from image using C#.

I am looking for a OpenCV expert to detect 2 circles from image.

I’m looking to commission a full-scale, India-first photo-sharing platform that feels as effortless and addictive as Instagram, but is tuned to local tastes...networks. • Security & compliance: end-to-end encrypted DMs, GDPR-/IT-Act-aligned data handling, and robust user-report tools. • Delivery: design mock-ups, technical architecture, clean documented code, automated tests, staging + production deployments, and post-launch support for bug fixes. Ideal tech stack could be Kotlin/Jetpack + React/, Node or Go microservices, WebRTC for live, and OpenCV or Spark AR-style toolkits for filters—but I’m open to your proven alternatives. When you respond, briefly outline your relevant experience, preferred stack, and estimated timeline for an MVP follow...

I...Re-assemble the remaining footage into a clean, contiguous MP4, preserving original resolution and audio sync. • Provide a simple interface: command-line script, lightweight GUI, or a REST endpoint—whichever you’re fastest with. • Include a settings file so I can tweak confidence thresholds and minimum scene length. Deliverables: 1. Source code with concise README covering dependencies (Python, OpenCV, ffmpeg, etc.). 2. A sample input clip plus the processed output to confirm accuracy. 3. Brief documentation or screen-share walkthrough so I fully understand how to extend or retrain the model. Accuracy matters more than real-time speed; if your approach works best in batches, that’s fine. Clean, well-commented code and reproducible step...

...blueprint and a proof-of-concept workflow that turns a burst of 2-D captures into an accurate printable model. Key objectives • High accuracy on tooth contours—the algorithm must prioritise precise edge and surface definition over colour fidelity. • True portability—everything should run on-board a Pi 4 (or lighter) without calling external cloud services. Minimum deliverables 1. Python/OpenCV script that: – synchronises projector patterns with camera frames, – performs camera calibration, pattern decoding, and robust contour detection, – estimates depth and produces a clean point cloud. 2. A lightweight surface-reconstruction step (Poisson, Marching Cubes, or similar) that outputs an .STL mesh ready for visualisati...

...merge the cleaned pages (keeping their order) into a single PDF and return the file for immediate download. I’m looking for an MVP: a small, self-contained codebase deployable to a common cloud platform (Firebase Functions, AWS Lambda, or similar) with clearly documented endpoints and a short README explaining local setup, dependencies, and a sample cURL call. Open-source imaging libraries such as OpenCV, Pillow, or ImageMagick are fine as long as licensing stays permissive. Deliverables 1. Source code for the API and image-to-PDF pipeline 2. Deployment instructions and environment requirements 3. Postman (or similar) collection demonstrating all endpoints 4. A brief note on how you would extend the service later for additional formats or batch uploads I’ll...

I can develop a clean Android Camera2 app ext (API 28+) that uses TextureView for live preview, automatically captures frames via gyroscope-based angle detection, stops on off-axis movement, and saves all captured images directly to the Gallery (MediaStore) in standard format—fully optimized, no extra UI, ready for JS integration.

Im developing a clean Android Camera2 app (API 28+) that uses TextureView for live preview, automatically captures frames via gyroscope-based angle detection, stops on off-axis movement, and saves all captured images directly to the Gallery (MediaStore) in standard format—fully optimized, no extra UI, ready for JS integration.

...Deployment & installation documentation - Tests using our RTSP stream Your Proposal MUST Include: 1. Links to similar projects (counting, tracking or RTSP real-time CV systems) 2. Which YOLO model you would use and why 3. Estimated delivery time 4. Budget proposal 5. Suggested improvements (optional) Estimated Timeline: MVP: 5–10 days | Production-ready version: 2–3 weeks Required Skills: Python, OpenCV, YOLO, DeepSORT/ByteTrack, RTSP/FFmpeg/GStreamer, experience delivering production-ready CV systems....

...that must come back from each processed match: • Serve accuracy for each player, split by first and second serve • Rally length, point by point and averaged per set • Shot types with their individual success rate (forehand, backhand, volley, smash, etc.) A summary table or JSON output per match is fine as long as the numbers are reliable. I’m open to any mix of computer-vision frameworks—OpenCV, TensorFlow, PyTorch—or an existing tennis-specific API if that speeds things up. Just make sure the workflow starts with my raw MOV files and ends with the metrics above, delivered in a repeatable way (script, Docker image, or small web app). Please outline: 1. Your proposed tech stack and how you’ll detect serves, rallies, and shot types. ...

...complete words without manual intervention one by one with a time interval to make next sign. • An optional audio cue should pronounce each detected letter so users hear what they just signed. A basic text-to-speech library is fine. Technical preferences I am comfortable with either C++ or Python—choose whichever delivers faster, more reliable results. The underlying tech stack is flexible: OpenCV for image capture, plus TensorFlow or PyTorch if a lightweight model is needed. Feel free to reuse publicly available datasets or pretrained models as long as results remain accurate and latency stays low on a mid-range laptop. Deliverable A runnable script or small application with clear instructions, commented code, and a short read-me explaining how to run the ...

...CSV, and ready-to-share PDF reports. • Account layer – simple email / password auth today, with room to bolt on OAuth or SSO later. • Billing – monthly plans with a trial gate; I’ll handle Stripe keys. Tech stack I’m leaning toward • React / front end • Supabase (or Firebase) for auth, storage, and row-level security • Node-based API for orchestration • Poppler / pdf-lib plus OpenCV, Tesseract or TrOCR for parsing • OpenAI (or Claude / Gemini) for LLM prompts and error-flag reasoning • Optional: CAD libraries if it speeds 3D previews What I need from you 1. Set up a clean repo, CI, and infrastructure-as-code (Vercel or similar). 2. Build the upload → AI takeoff → report pipeline with logg...

We are seeking an experienced Computer Vision / C++ Engineer to develop a binocular image stitching algorithm capable of fusing two fisheye camera feeds into a real-time panoramic image with minimal latency and distortion. You will design and implement a binocular stitching module that includes: Camera calibration and correction Feature matching and image fusion GPU-accelerated stitching (CUDA / OpenGL) Unified C++ API interface for integration JSON/yaml configuration for algorithm parameters Cross-platform compatibility (Windows, Linux, ARM64) Who We’re Looking For Proven experience in image stitching / SLAM / panoramic vision Expertise in GPU-based acceleration (CUDA kernels, memory optimization) Ability to write clean, modular, well-documented code Strong debugging and optimizat...

...movements. Hardware trigger synchronization between camera, stage, and focus motor. CPU/GPU load distribution with asynchronous pipeline during image acquisition. Hardware Improvements (if necessary) Required Expertise Experience with microscopic or industrial imaging systems Knowledge of autofocus algorithms and focus metrics Strong software development skills in Python or C++ Experience with OpenCV, NumPy, Halcon, PyTorch, or similar libraries Hardware integration (motor, camera, encoder, trigger) knowledge Performance optimization, multithreading, and pipeline design Scope of Work Testing algorithms by connecting to the existing system (remote access or simulation) Developing a software prototype for the new autofocus module Performance measurement: focusing time...

...of the workflow while maintaining lightweight performance. Target Platform OS: Windows 10 / Windows 11 Architecture: x64 Installation: Standalone executable or simple installer; no heavy dependencies beyond runtime libraries Tools and Technology Stack Feature Suggested Tool/Library Rationale Video decoding/encoding FFmpeg Industry standard, supports MP4 export, lightweight Video processing OpenCV Easy video frame manipulation for trimming/cuts 3D rendering Unity (HDRP/LWRP) or OpenGL with C++/Python Unity simplifies importing OBJ/FBX and real-time rendering GUI Unity UI or PyQt / ImGui Single-panel interface, easy controls for demo Effects Unity Post-Processing Stack / OpenGL shaders Real-time effects like blur, glow, color correction Build system Unity Build Pipeline / CMak...

...already retrieves data from our mobile application flawlessly; I simply want to modernise the toolchain. The key goal is to move PaddleOCR from 2.8.1 to 3.2 so I can use the new features introduced in that release. While you’re in there, OpenCV—and any other libraries that must change to keep everything compatible—need to be bumped to matching, stable versions. Scope of work • Audit the current pip-freeze or , noting version constraints. • Upgrade PaddleOCR to 3.2 within the existing venv (no fresh rebuild preferred). • Update OpenCV and resolve any dependency conflicts that emerge. • Run my end-to-end data-collection workflow to confirm nothing breaks and the new OCR features work as expected. • Deliver a concise chan...

I have a short, medium-quality surveillance-camera clip that shows a car moving slowly past the lens. I need someone who can confidently identify the vehicle’s exact make, model, and likely production year range from this footage. The clip is Standard Definition, so you may need to enhance frames,...A concise write-up is all I’m after: • Screenshot(s) of the key frame(s) you used • The make, model, and most probable year span (e.g., 2016–2018 Toyota Corolla) • A brief explanation—just a few sentences—showing how you reached the conclusion No exhaustive report is required; a clear, confident identification backed by one or two visual cues will do. If you’re familiar with tools like OpenCV, Photoshop, or specialized vehicle-r...

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...(after official start time) • Absent (not detected by cutoff time) The system must run continuously during morning hours on a standard Windows 11 PC (CPU-only), using a single PoE camera installed at the entrance. ________________________________________ Non-Negotiable Technical Requirements 1. Open & Verifiable Models Only • Face detection: Must use the official OpenCV YuNet model ( from OpenCV Zoo). • Face recognition: Must use InsightFace with ArcFace (e.g., buffalo_l). • No private, undocumented, or black-box models (e.g., ). 2. Precomputed Embeddings for Real-Time Scalability • Student identities stored as numeric embeddings (.npy files), not raw images. • Live recognition via instant cosine similarity against precomputed database

...images and metrics) Summary of strengths + areas to improve Optional improvement drills or coach tipscan be taken from youtube Backend & AI/ML Flow Receive 1-3 videos from user (Preferable 1 (side video) but need to confirm with developer) o Store them securely (e.g., S3 or google or azure) o Trigger analysis 2. Run Frame-by-Frame Analysis: developer can decide what models to use o Use OpenCV to extract frames o Use YOLOv8 to detect: Ball Racket (custom model) Player (or body bounding box) o Use MediaPipe to extract: Knees Hips Shoulders Arms And other positions 3. Calculate Key Metrics: o Ball Speed (from ball tracking ) o Spin Estimate (from ball trajectory & curve) o Unit turn good or not o Racket Drop (vertical drop vs waist or hip) o Knee Bend ...

...Camera Calibration Setup for Multi-Camera Football Field Job Description: I need a Python developer experienced with OpenCV camera calibration to create a flexible calibration system for multiple static cameras positioned around a football field. The goal is to generate a reusable calibration file (e.g., JSON or YAML) containing the intrinsic and extrinsic parameters of each camera, so that all cameras share one common world coordinate system. The calibration file should be editable and reconfigurable, allowing me to adjust camera positions or re-run the calibration easily when the field or camera setup changes. Expected Deliverables: A working Python script using OpenCV (or similar tools) that: Detects calibration patterns (chessboard, ArUco markers, or field keypo...